Matthias Hübenthal
@huebenthal-cau.bsky.social
Bioinformatician, Postdoctoral researcher at University Hospital Schleswig-Holstein, Kiel, Germany
https://scholar.google.de/citations?user=YEe4yG8AAAAJ
#bioinformatics #biostatistics #datascience #dermatology #gastroenterology #uksh
https://scholar.google.de/citations?user=YEe4yG8AAAAJ
#bioinformatics #biostatistics #datascience #dermatology #gastroenterology #uksh
According to the documentation ASJCs are part of the downloaded version of the source list.
November 26, 2024 at 6:07 AM
According to the documentation ASJCs are part of the downloaded version of the source list.
@scopus.bsky.social provides ASJ codes for all its sources at www.scopus.com/sources.uri
November 25, 2024 at 9:03 PM
@scopus.bsky.social provides ASJ codes for all its sources at www.scopus.com/sources.uri
(5/5) And #github for the respective R package.
GitHub - huebenthal-cau/mapSeverityScores
Contribute to huebenthal-cau/mapSeverityScores development by creating an account on GitHub.
github.com
November 20, 2024 at 8:37 AM
(5/5) And #github for the respective R package.
(4/5) See #brjdermatol for the article.
Mapping SCORing of Atopic Dermatitis (SCORAD) and objective SCORAD to the Eczema Area and Severity Index to facilitate large-scale meta-analyses of molecular data
We used data from 1501 patients to build mathematical models for mapping between common measures of atopic dermatitis severity, including SCORing of Atopic
academic.oup.com
November 20, 2024 at 8:37 AM
(4/5) See #brjdermatol for the article.
(3/5) We used data from 1501 patients to build mathematical models for mapping between common measures of #atopicdermatitis severity, including oSCORAD, SCORAD and EASI. Therewith, we facilitate progress in harmonizing patient data across studies, enabling important comparative analyses at scale.
November 20, 2024 at 8:37 AM
(3/5) We used data from 1501 patients to build mathematical models for mapping between common measures of #atopicdermatitis severity, including oSCORAD, SCORAD and EASI. Therewith, we facilitate progress in harmonizing patient data across studies, enabling important comparative analyses at scale.
(2/5) Our short paper entitled "Mapping oSCORAD and SCORAD to EASI to facilitate large-scale analyses of omics data" published in #brjdermatol might provide a solution.
November 20, 2024 at 8:37 AM
(2/5) Our short paper entitled "Mapping oSCORAD and SCORAD to EASI to facilitate large-scale analyses of omics data" published in #brjdermatol might provide a solution.